|
{ |
|
"best_metric": 0.002982336562126875, |
|
"best_model_checkpoint": "t5/checkpoint-25566", |
|
"epoch": 8.0, |
|
"eval_steps": 500, |
|
"global_step": 102264, |
|
"is_hyper_param_search": false, |
|
"is_local_process_zero": true, |
|
"is_world_process_zero": true, |
|
"log_history": [ |
|
{ |
|
"epoch": 1.0, |
|
"grad_norm": 0.09756029397249222, |
|
"learning_rate": 1.9600000000000002e-05, |
|
"loss": 0.0059, |
|
"step": 12783 |
|
}, |
|
{ |
|
"epoch": 1.0, |
|
"eval_accuracy": 0.9804666666666667, |
|
"eval_loss": 0.0031315775122493505, |
|
"eval_runtime": 472.802, |
|
"eval_samples_per_second": 63.452, |
|
"eval_steps_per_second": 0.497, |
|
"step": 12783 |
|
}, |
|
{ |
|
"epoch": 2.0, |
|
"grad_norm": 0.0030228213872760534, |
|
"learning_rate": 1.9200000000000003e-05, |
|
"loss": 0.0022, |
|
"step": 25566 |
|
}, |
|
{ |
|
"epoch": 2.0, |
|
"eval_accuracy": 0.9818666666666667, |
|
"eval_loss": 0.002982336562126875, |
|
"eval_runtime": 474.0664, |
|
"eval_samples_per_second": 63.282, |
|
"eval_steps_per_second": 0.496, |
|
"step": 25566 |
|
}, |
|
{ |
|
"epoch": 3.0, |
|
"grad_norm": 0.00019585879635997117, |
|
"learning_rate": 1.88e-05, |
|
"loss": 0.0012, |
|
"step": 38349 |
|
}, |
|
{ |
|
"epoch": 3.0, |
|
"eval_accuracy": 0.9825, |
|
"eval_loss": 0.0032824024092406034, |
|
"eval_runtime": 478.2854, |
|
"eval_samples_per_second": 62.724, |
|
"eval_steps_per_second": 0.491, |
|
"step": 38349 |
|
}, |
|
{ |
|
"epoch": 4.0, |
|
"grad_norm": 0.004981159698218107, |
|
"learning_rate": 1.8400000000000003e-05, |
|
"loss": 0.0007, |
|
"step": 51132 |
|
}, |
|
{ |
|
"epoch": 4.0, |
|
"eval_accuracy": 0.9826, |
|
"eval_loss": 0.003532745875418186, |
|
"eval_runtime": 469.3109, |
|
"eval_samples_per_second": 63.924, |
|
"eval_steps_per_second": 0.501, |
|
"step": 51132 |
|
}, |
|
{ |
|
"epoch": 5.0, |
|
"grad_norm": 0.002326933667063713, |
|
"learning_rate": 1.8e-05, |
|
"loss": 0.0005, |
|
"step": 63915 |
|
}, |
|
{ |
|
"epoch": 5.0, |
|
"eval_accuracy": 0.9821666666666666, |
|
"eval_loss": 0.003947438672184944, |
|
"eval_runtime": 471.3239, |
|
"eval_samples_per_second": 63.65, |
|
"eval_steps_per_second": 0.499, |
|
"step": 63915 |
|
}, |
|
{ |
|
"epoch": 6.0, |
|
"grad_norm": 0.034791357815265656, |
|
"learning_rate": 1.76e-05, |
|
"loss": 0.0004, |
|
"step": 76698 |
|
}, |
|
{ |
|
"epoch": 6.0, |
|
"eval_accuracy": 0.9815666666666667, |
|
"eval_loss": 0.0041623483411967754, |
|
"eval_runtime": 470.7737, |
|
"eval_samples_per_second": 63.725, |
|
"eval_steps_per_second": 0.499, |
|
"step": 76698 |
|
}, |
|
{ |
|
"epoch": 7.0, |
|
"grad_norm": 9.868334018392488e-05, |
|
"learning_rate": 1.72e-05, |
|
"loss": 0.0003, |
|
"step": 89481 |
|
}, |
|
{ |
|
"epoch": 7.0, |
|
"eval_accuracy": 0.9822666666666666, |
|
"eval_loss": 0.004203655291348696, |
|
"eval_runtime": 471.0374, |
|
"eval_samples_per_second": 63.689, |
|
"eval_steps_per_second": 0.499, |
|
"step": 89481 |
|
}, |
|
{ |
|
"epoch": 8.0, |
|
"grad_norm": 0.002833570586517453, |
|
"learning_rate": 1.6800000000000002e-05, |
|
"loss": 0.0003, |
|
"step": 102264 |
|
}, |
|
{ |
|
"epoch": 8.0, |
|
"eval_accuracy": 0.9826, |
|
"eval_loss": 0.0045397114008665085, |
|
"eval_runtime": 469.6081, |
|
"eval_samples_per_second": 63.883, |
|
"eval_steps_per_second": 0.5, |
|
"step": 102264 |
|
} |
|
], |
|
"logging_steps": 500, |
|
"max_steps": 639150, |
|
"num_input_tokens_seen": 0, |
|
"num_train_epochs": 50, |
|
"save_steps": 500, |
|
"total_flos": 5.937159320662856e+17, |
|
"train_batch_size": 32, |
|
"trial_name": null, |
|
"trial_params": null |
|
} |
|
|